stable-diffusion.cpp/docs/z_image.md

How to Use

You can run Z-Image with stable-diffusion.cpp on GPUs with 4GB of VRAM — or even less.

Download weights

• Download Z-Image-Turbo
  • safetensors: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/diffusion_models
  • gguf: https://huggingface.co/leejet/Z-Image-Turbo-GGUF/tree/main
• Download vae
  • safetensors: https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/main
• Download Qwen3 4b
  • safetensors: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/text_encoders
  • gguf: https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/tree/main

Examples

.\bin\Release\sd.exe --diffusion-model  z_image_turbo-Q3_K.gguf --vae ..\..\ComfyUI\models\vae\ae.sft  --llm ..\..\ComfyUI\models\text_encoders\Qwen3-4B-Instruct-2507-Q4_K_M.gguf -p "A cinematic, melancholic photograph of a solitary hooded figure walking through a sprawling, rain-slicked metropolis at night. The city lights are a chaotic blur of neon orange and cool blue, reflecting on the wet asphalt. The scene evokes a sense of being a single component in a vast machine. Superimposed over the image in a sleek, modern, slightly glitched font is the philosophical quote: 'THE CITY IS A CIRCUIT BOARD, AND I AM A BROKEN TRANSISTOR.' -- moody, atmospheric, profound, dark academic" --cfg-scale 1.0 -v --offload-to-cpu --diffusion-fa -H 1024 -W 512

Comparison of Different Quantization Types

bf16	q8_0	q6_K	q5_0	q4_K	q4_0	q3_K	q2_K